Quantitative Trading and Research - Credit - Vice President

Aumni; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

Aumni is looking for a highly skilled Vice President to join their Credit Quantitative Trading team in New York. This role involves leveraging AI and machine learning to enhance trading strategies and decision-making processes.

The ideal candidate will have a post-graduate degree in a STEM field, with extensive experience in AI/ML timeseries modeling and a strong understanding of corporate credit and fixed income markets.

Join Aumni to play a pivotal role in developing innovative analytics and tools that shape the future of quantitative trading.

Qualifications

• Minimum 3 to 5 years of experience in quantitative research within e-trading.
• Strong systematic approach to problem-solving.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Invest in and improve AI/ML models.
• Collaborate with traders and stakeholders on strategies.
• Design and implement tools and systems for analytics.

Skills

AI/ML timeseries modeling

Corporate credit knowledge

Excellent analytical skills

Programming (Python, Java)

Education

Post-graduate degree in STEM

Job description

We are seeking a highly skilled and motivated Vice President to join our Credit Quantitative Trading (QT) team, within the JPMorgan Quantitative Trading and Research (QTR) umbrella. This is a unique opportunity to work with Credit asset class, specifically in corporate bonds, bond portfolios, and fixed income ETFs globally. You will be involved in comprehensive analytics, models, and tools used in various trading activities within High-Touch and Low-Touch (Algo/Systematic) bond market making.

Job Summary

As a Vice President on our Credit Quantitative Trading and Research team, you will have the opportunity to collaborate with cross-functional teams, leveraging AI/ML to enhance our trading strategies and decision-making processes. You will explore and integrate various AI/ML methodologies into our modeling approach. This involves a scientific exploration of innovative techniques, with a focus on developing and deploying proven results in a production setting end-to-end. You need to be a forward-thinking individual who can bridge the gap between cutting-edge research and practical application, ensuring that AI/ML models are robust, scalable, and aligned with business objectives and success criteria. This is an exciting role for those who appreciate how every part of the business connects well together and are eager to contribute to the evolution of our quantitative research capabilities.

Job Responsibilities

• Investing in existing AI/ML models and continuously improving capabilities to keep up with modern frameworks
• Collaborate with market makers, traders, and other stakeholders to support trading activities and strategies.
• Analyze market trends and large datasets, translating them into actionable insights using various methodologies relevant to the projects.
• Design and implement tools and systems end-to-end, ensuring that models and analytics comply with industry best practices.
• Foster a deep understanding of how different parts of the business connect and contribute to the overall success of both the individual and the team.
• Drive projects with a keen eye from a quantitative research perspective, ensuring they progress in the right direction for long-term success.

Required Qualifications, Capabilities, and Skills

• A post-graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer Science) with hands-on experience in AI/ML timeseries models and traditional statistical modeling.
• Minimum 3 to 5 years of experience in a quantitative research or related role within e-trading space
• Strong knowledge of corporate credit, fixed income markets, and ETFs.
• Excellent analytical skills with a keen attention to detail and a systematic approach to problem-solving, with a willingness to explore new ideas.
• Ability to work collaboratively in a fast-paced, dynamic environment, while also demonstrating independent thinking and exceptional organizational capabilities.
• Strong communication skills to effectively convey complex concepts to non-technical stakeholders.

Preferred Qualifications, Capabilities, and Skills

• Expertise in deep learning, time series modeling, with the ability to experiment with and apply various modeling techniques to enhance predictive accuracy and insights.
• Advanced proficiency in programming languages such as Python and Java, enabling the development and implementation in libraries, micro-services, and systems.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.